hubert-esc50-finetuned-v2 – AI Model by zhuchi76 | AlphaNeural AI

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zhuchi76/
hubert-esc50-finetuned-v2

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audio-classification

generated_from_trainer

facebook/hubert-base-ls960

endpoints_compatible

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hubert-esc50-finetuned-v2

This model is a fine-tuned version of facebook/hubert-base-ls960 on the ESC-50 dataset. It achieves the following results on the evaluation set:

Loss: 1.8565
Accuracy: 0.515

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
3.5363	1.0	200	3.5056	0.1025
3.1977	2.0	400	3.1352	0.17
2.7928	3.0	600	2.8065	0.2575
2.5077	4.0	800	2.5434	0.2725
2.3318	5.0	1000	2.4205	0.32
2.2353	6.0	1200	2.1868	0.405
1.979	7.0	1400	2.0595	0.4275
1.8257	8.0	1600	1.9390	0.47
1.6241	9.0	1800	1.8904	0.5125
1.7081	10.0	2000	1.8565	0.515

Framework versions

Transformers 4.40.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1